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Cheruvu, Murali
This project forked from bigdata-i523/hid306
Cheruvu, Murali
--- owner: hid: 306 name: Cheruvu, Murali url: https://github.com/bigdata-i523/hid306 paper1: abstract: > The Internet of Things, or IoT, is all about data from connected devices. Millions of consumer and industrial devices drive IoT growth and challenge with data volume and variety. Big Data Analytics helps combing through these high volumes of complex IoT data into meaningful business insights. author: - Murali Cheruvu chapter: Technology hid: - 306 status: 100%; 10/26/2017 title: The Internet of Things and Big Data Analytics type: latex url: https://github.com/bigdata-i523/hid306/paper1 paper2: review: Nov 6 2017 abstract: > The Deep Learning is unique in machine learning algorithms to analyze supervised and unsupervised datasets. Big Data challenges like high volumes, multi-dimensionality and feature engineering are well addressed using Deep Learning algorithms. Deep Leaning, with edge and distributed mesh computing, is best suited to handle IoT Analytics of millions of sensors producing petabytes of time-series data. author: - Murali Cheruvu chapter: Technology hid: - 306 status: 100%; 11/4/2017 title: Why Deep Learning matters in IoT Data Analytics? type: latex url: https://github.com/bigdata-i523/hid306/paper2
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